Dear all,
I would like to add colors to my regression plot. I plotted the regression of proportion of protein consumed in the morning with total amount of protein consumed. What I would like to do is give observations belonging to males and females different colours. Does someone have suggestions where I must add this information in my syntax (see below).
Many thanks in advance.
proc template;
define statgraph propprotbytotprot;
begingraph;
entrytitle "Proportion of protein ingested during morning by total protein ingested";
layout overlay /xaxisopts=(griddisplay=on)yaxisopts=(griddisplay=on);
modelband "cli" / name="mb1" legendlabel="95% Predict" datatransparency=0.5;
modelband "clm" / name="mb2" legendlabel="95% Mean";
regressionplot x=prop_sum_prot y=prot_day / cli="cli" clm="clm";
scatterplot x=prop_sum_prot y=prot_day;
discretelegend "mb1" "mb2" / border=true across=1 valign=bottom halign=right location=inside;
entry halign=left " Nobs=" eval(strip(put(n(prot_day),12.0))) / valign=top;
endlayout;
endgraph;
end;
run;
proc sgrender data=final.hour template=propprotbytotprot ;
label prop_sum_prot="Proportion of protein ingested during morning hours (g)";
label prot_day="Total protein (g)";
run;
If you want to use different marker attributes for markers in the scatter plot, add
GROUP=sex
to the SCATTERPLOT statement, where 'sex' is the name of a categorical variable (might be 'gender'...)
The colors/symbols that appear are determined by the current style for the ODS destination. If you don't like the style choice, you can use a different style or define a discrete attribute map that overrides the style.
If you want to use different marker attributes for markers in the scatter plot, add
GROUP=sex
to the SCATTERPLOT statement, where 'sex' is the name of a categorical variable (might be 'gender'...)
The colors/symbols that appear are determined by the current style for the ODS destination. If you don't like the style choice, you can use a different style or define a discrete attribute map that overrides the style.
Hi Rick,
Thank you so much for your fast response. I tried this before, but instead of adding group=sex behind the scatterplot statement, I added it behind the regression statement. This did not work out well (obviously!).
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